Influence of Different Sulfur Forms on Gas-Phase Mercury Removal by SO<sub>2</sub>-Impregnated Porous Carbons
Bibliographic record
Abstract
Due to widespread global mercury pollution via anthropogenic activities such as coal combustion and its severe toxicity even at low concentrations, it is necessary to remove mercury from power plant flue gas to protect both humans and the ecosystem. Currently, significant efforts are being made to maximize Hg 0 adsorption rates while minimizing the impact on the cost of electricity. The purpose of this study is to explore the influence of different sulfur forms on vapor Hg 0 removal by SO 2 -impregnated porous carbons. After SO 2 impregnation, reductive heat treatment in N 2 and H 2 O 2 oxidation process was used to diverge the sulfur form composition in porous carbons. The ultimate and X-ray photoelectron spectroscopy analysis were used to verify the sulfur species. The pore structures of sorbents were determined by nitrogen adsorption/desorption measurements. Then, their mercury removal performance was investigated in a fixed-bed reactor and the influence of different sulfur forms on equilibrium mercury adsorption capacity and mercury desorption was studied. Finally, the kinetics of mercury adsorption on SO 2 -impregnated sorbents was explored to identify whether the adsorption process is controlled by chemical adsorption. The results showed that apparent increases in the quantities of reduced sulfur species were observed after heat treatment, which is assumed to be beneficial for mercury adsorption. H 2 O 2 oxidation after SO 2 impregnation has caused a loss of reduced and nonoxidized sulfur forms in porous carbons, as well as an increase in insoluble oxidized sulfur species. One interesting finding is that even though the micropore volumes of porous carbons decreased after heat treatment, the Hg 0 adsorption capacities of reduced samples and the thermal stability of adsorbed mercury were both positively raised. After H 2 O 2 treatment, the oxidized SO 2 impregnated samples showed an obvious decrease in Hg 0 adsorption capacity. Compared with nonoxidized and oxidized sulfur forms, the reduced sulfur forms have shown a rather significant correlation with the mercury adsorption performance of SO 2 -impregnated samples. Kinetic analysis illustrates that mercury adsorption on SO 2 -impregnated porous carbons was mainly controlled by chemical adsorption.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".